bfw 0.4.2
Critical
- Removed an example from 
ParsePlot as temp saving caused
errors on some platforms 
Minor
- Added a code of conduct
 
- Adapted examples to improve run time of 
rcmdcheck 
- Moved away from Travis CI to Github Actions
 
- Changed some urls that had moved hosting
 
- Adapted 
kappa function to handle binary values 
bfw 0.4.1.9001
Minor
- Made 
PlotParam more flexible for different kinds of
parameter values 
- Fixed 
FlattenList function for complex nested lists
with contents other than list of lists 
bfw 0.4.1.9000
Minor
- moved 
inst/doc to inst/extdata/doc 
- moved 
LICENSE.md to
inst/extdata/LICENSE.md 
bfw 0.4.1
Minor
bfw 0.4.0.9002
Minor
- added 
FindEnvironment function to find the environment
of a selected variable 
- added 
ChangeNames function to change names, colnames or
rownames of single items or a list of items 
- Updated 
ParseNumber function to optionally extract
numeric values with decimals 
- @davidgohel
adapted 
ParsePlot to conform with changes in
officer and rvg packages 
bfw 0.4.0.9001
Minor
- Updated 
ParsePlot function to conform with changes in
rvg package: Part Deux 
bfw 0.4.0.9000
Minor
- Updated 
ParsePlot function to conform with changes in
rvg package 
- Fixed 
circlize function 
bfw 0.4.0
Critical
- Fixed an sorting error in 
contrasts function 
Minor
- Added the ability to use custom save names
 
- Removed the appended “Plot” in save names for 
ParsePlot
function 
bfw 0.3.0.9002
Minor
- Fixed factor-to-numeric-bug 
metric function 
bfw 0.3.0.9001
Feature
- Added 
InverseHDI function to compute inverse cumulative
density function of the distribution 
Minor
- Added option to add results to 
ETA function 
bfw 0.3.0
Feature
- Added 
PlotParam function to plot density of parameter
values (including ROPE) 
Moderate
- Removed 
PlotData function. All plots are now called
from seperate functions:
PlotCirclize to create a circlize plot 
PlotMean to create a mean plot 
PlotNominal to create a nominal plot 
PlotParam to create a density plot with parameter
values 
 
Minor
- Small fix in 
SumMCMC function to compute sample
sizes 
bfw 0.2.0.9005
Feature
- Updated 
CFA function to include correlation matrix 
- Added a option to run 
PPP for every kth length of MCMC
chains (Default is every 10th) 
Moderate
- Optimized 
RunContrasts to allow larger MCMC simulations
(2nd review) 
Minor
- Fixed 
plot_data vignette 
- Updated 
README 
- Fixed title bug in 
circlize plots 
- Added 
RemoveGarbage function to clear up working
memory 
- Added 
MultiGrep function to use multiple patterns to
select an element from a vector 
- Fixed bug in 
kappa function 
- Fixed bug in 
covariate function 
- Fixed inline comment bug in 
TidyCode function 
- Added option to define which parameters to use for diagnostics
 
- Removed (some of the…) unnecessary arguments in 
bfw
function 
- Added a 
apa PowerPoint template 
bfw 0.2.0.9004
Feature
- Added 
nominal and circlize (using the
circlize package) plot types
mean plots are now seperated from main
PlotData function 
ParsePlot and PlotData functions are also
seperated 
 
Critical
- Fixed an error in 
nominal function 
bfw 0.2.0.9003
Minor
- Fixed variables namnes in 
nominal function when using
only 1 variable 
bfw 0.2.0.9003
Minor
- Fixed issue of line break after HTML tags when rendering Rmd
files.
 
bfw 0.2.0.9002
Moderate
- Fixed 
ParsePlot to accommodate ggplots.
PlotData now returns ggplot2 and not
grDevices::recordPlot() 
 
Minor
- Added a second badge, a more informative badge, ’cos why not.
 
bfw 0.2.0.9001
Minor
bfw 0.2.0.9000
Minor
- Added a badge because all the cool kids have them
 
- Fixed small inconsistencies in ParsePlot parameters (i.e., type png
with layout pw).
- Defaults are now rasterized pdf on a4 layout with 12 pointsize.
 
 
bfw 0.2.0
Critical
- Optimized 
RunContrasts to allow larger MCMC
simulations 
Moderate
- Optimized 
ParsePlot to handle large amounts of
plots 
- Added 
png package to Suggests to handle
rasterized graphics for pdf/ps. 
- Created a small function called 
TidyCode to format
messy code. 
- Modified 
nominal and metric functions to
use a single flexible jags model for each function respectively 
- Added an extended 
covariate function to include y and x
variables. 
- Redefined fit 
data models
- Created a separate model for confirmatory factor analysis using
Wishart distribution
 
- Redefined structural equation models, making the models more
efficient
 
 
- Added options to have more control over JAGS simulations
jags.method, specify method for JAGS (e.g., parallel or
simple) 
jags.chains, specify specify number of chains for
JAGS 
adapt.steps, the number of adaptive iterations to use
at the start of each simulation 
burnin.steps, the number of burnin iterations, NOT
including the adaptive iterations to use for the simulation. 
 
Minor
- Added a small 
ETA function to display running time of
functions 
- Made feedback from MCMC functions more informative
 
- Fixed 
custom model in settings 
- Fixed 
job.title bug in covariate 
- Fixed NULL values in 
TrimSplit and
CapWords 
- Replaced robust estimates of R^2 with Spearman
 
- Moved vignettes from 
vignettes to doc 
bfw 0.1.0
Moderate
- Migrated from the orphaned 
ReporteRs to
officer (thanks to Professor Brian Ripley at University of
Oxford for notifying me)
- Added two PowerPoint templates 
legacy (4:3) and
widescreen (16:9) 
 
- The following packages are moved from 
Imports to
Suggests
- ggplot2
 
- lavaan
 
- officer
 
- psych
 
- robust
 
- rvg
 
- scales
 
- truncnorm
 
 
Minor
- Modified title of package from 
Computational Modelling
to Computational Modeling to conform with US spelling 
- Recoded diagnostics, making the code more efficent.
 
- Correcting some typos and code aesthetics (e.g., replaced print with
cat to display running time of analyses)
 
- Reviewed 
TrimSplit function to include removing empty
elements from vector 
- Removed 
methods and rJava from
imports 
bfw 0.0.1
- Initial launch with the following modules:
- Bernoulli trials
 
- Covariate estimations (including correlation and Cronbach`s
alpha)
 
- Fit data (e.g., SEM, CFA, mediation models)
 
- Bayesian equivalent of Cohen`s kappa
 
- Mean and standard deviation estimations
 
- Predict metric values (cf., ANOVA)
 
- Predict nominal values (c.f., chi-square test)
 
- Simple, multiple and hierarchical regression
 
- Softmax regression (i.e., multinomial logistic regression)
 
 
- Added a 
NEWS.md file to track changes to the
package. 
- Added a 
TODO.md file to track future work on the
package. 
- Added a 
README.md file as an introduction to the
package.